Incorporating Historical Interference Data in Auto Channel Selection (ACS)

By employing a sliding window and bucket approach to capture historical interference data, the ACS system improves channel selection accuracy in Wi-Fi APs, addressing false positives and skewing issues, leading to optimal channel choice in dense RF environments.

US20260150123A1Pending Publication Date: 2026-05-28ARISTA NETWORKS INC
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Patent Information

Application Number
US18/956594
Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
Filing Date
2024-11-22
Publication Date
2026-05-28

AI Technical Summary

Technical Problem

Existing Auto Channel Selection (ACS) implementations in Wi-Fi access points are susceptible to false positives and skewing of interference metrics, particularly in dense RF environments, leading to suboptimal channel selection.

Method used

Implementing a sliding window approach for Wi-Fi APs with multi-function radios and a bucket approach for those without, to more accurately capture historical non-Wi-Fi interference data, using metrics like maximum and cumulative downtime or overall interference levels to enhance channel selection.

Benefits of technology

Enhances channel selection accuracy, reducing susceptibility to false positives and ensuring optimal channel choice, particularly in environments with multiple non-Wi-Fi interference sources.

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Abstract

Techniques for gathering historical interference data during the channel scanning phase of Auto Channel Selection (ACS) and using the historical interference data for channel selection. With these techniques, a Wi-Fi access point (AP) that implements ACS can more accurately select the optimal channel for a frequency band, resulting in an improved experience for Wi-Fi clients and other devices that communicate with the AP via that band.
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Citation Information

Cited By

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